The phrase "a low classification" is correct and usable in written English.
It can be used in contexts related to categorization, ranking, or grading, often in fields like data management, security, or academic evaluation.
Example: "The document was assigned a low classification, indicating that it contained non-sensitive information."
Alternatives: "a minor classification" or "a basic classification".
The rates vary by length of haul, size of shipment, and the product's classification (a number that reflects the ease with which the carrier can handle the product; for example, gravel has a low classification number, bees in hives have a high classification number).
A good choice of parameters is characterized both by low feedback power (small (|alpha|^{2})) and high input rate (low sample time Δt) while still resulting in a low classification error rate.
However, in earlier iterations, these single feature weak classifiers are capable of achieving a low classification error rate of 10%30%% [7] while in later iterations, cannot achieve less than 40%50%% error rate.
The F1-score values are defined on the interval ((0,1)), and if they are near one they represent a better classification, while small values, near zero, represent a low classification quality.
CAP of browser fish assemblages yielded a low classification success of 59.7% (Fig. 3b).
A low classification error rate in an MDR model indicates a high statistically significant risk of n-loci effects.
However, the random forest yields a slightly low classification accuracy on the proposed method.
But, the random forest classifier shows a slightly low classification accuracy on NSL-KDD dataset.
However, the proposed method shows a slightly low classification accuracy with random forest and SVM classifiers.
But, we found a bit low classification accuracy with SVM classifier for our method.
However, KNN yields a slightly low classification accuracy for the proposed method.
